[1] Shapiro J H. Computational ghost imaging[J]. Physical Review A, 2008, 78(6): 061802.

[2] Strekalov D V, Sergienko A V, Klyshko D N, et al. Observation of two-photon “ghost” interference and diffraction[J]. Physical Review Letters, 1995, 74(18): 3600-3603.

[3] Bennink R S, Bentley S J, Boyd R W. “Two-photon” coincidence imaging with a classical source[J]. Physical Review Letters, 2002, 89(11): 113601.

[4] Zhao C Q, Gong W L, Chen M L, et al. Ghost imaging lidar via sparsity constraints[J]. Applied Physics Letters, 2012, 101(14): 141123.

[5] Yu W K, Li S, Yao X R, et al. Protocol based on compressed sensing for high-speed authentication and cryptographic key distribution over a multiparty optical network[J]. Applied Optics, 2013, 52(33): 7882-7888.

[6] 曹非, 赵生妹. 基于计算鬼成像的双密钥光学加密方案[J]. 光学学报, 2017, 37(1): 0111001.

    Cao F, Zhao S M. Optical encryption scheme with double secret keys based on computational ghost imaging[J]. Acta Optica Sinica, 2017, 37(1): 0111001.

[7] Erkmen B I, Shapiro J H. Signal-to-noise ratio of Gaussian-state ghost imaging[J]. Physical Review A, 2009, 79(2): 023833.

[8] 梁振宇, 樊祥, 程正东, 等. 切向运动目标的热光高阶鬼成像研究[J]. 激光与光电子学进展, 2016, 53(8): 081102.

    Liang Z Y, Fan X, Cheng Z D, et al. High-order thermo-optic ghost imaging for a tangential moving target[J]. Laser & Optoelectronics Progress, 2016, 53(8): 081102.

[9] Ferri F, Magatti D, Lugiato L A, et al. Differential ghost imaging[J]. Physical Review Letters, 2010, 104(25): 253603.

[10] Gong W L. High-resolution pseudo-inverse ghost imaging[J]. Photonics Research, 2015, 3(5): 234-237.

[11] Katz O, Bromberg Y, Silberberg Y. Compressive ghost imaging[J]. Applied Physics Letters, 2009, 95(13): 131110.

[12] 陈熠, 樊祥, 程玉宝, 等. 基于邻域相似度的压缩感知鬼成像[J]. 光学学报, 2018, 38(7): 0711001.

    Chen Y, Fan X, Cheng Y B, et al. Compressive sensing ghost imaging based on neighbor similarity[J]. Acta Optica Sinica, 2018, 38(7): 0711001.

[13] Yang W Q, Peng L H. Image reconstruction algorithms for electrical capacitance tomography[J]. Measurement science and technology, 2002, 14(1): R1-R13.

[14] Delgado R A, Middleton R H. Sparse representation using stepwise Tikhonov regularization with offline computations[J]. IEEE Signal Processing Letters, 2019, 26(6): 873-877.

[15] Zheng G H, Zhang Q G. Solving the backward problem for space-fractional diffusion equation by a fractional Tikhonov regularization method[J]. Mathematics and Computers in Simulation, 2018, 148: 37-47.

[16] Golub G H, Heath M, Wahba G. Generalized cross-validation as a method for choosing a good ridge parameter[J]. Technometrics, 1979, 21(2): 215-223.